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How would you adapt a pre-trained model to a domain-specific task?
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Answer Posted / Peetam Singh
Adapting a pre-trained model to a domain-specific task involves fine-tuning the model on a dataset relevant to that domain. This process usually includes freezing some of the layers in the model, which have learned general language representations, and then training the remaining layers on the specific dataset. Fine-tuning helps the model learn domain-specific language patterns and improve its performance.
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